Gaoyi Wu
Builds
Builds
secure AI
secure AI
secure AI
secure AI
secure AI
secure AI
secure AI
secure AI
and ML
and ML
systems, turning research ideas
systems, turning research ideas
into practical products across
into practical products across
infra & apps
infra & apps
infra & apps
infra & apps
infra & apps
infra & apps
layers.
layers.
Prev. @
Prev. @
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Selected Projects
Built WebWeaver, topology inference for LLM multi-agent systems
Recovering hidden multi-agent communication graphs from contextual traces
AI Security
Topology Inference
arXiv 2026
Built WebWeaver, topology inference for LLM multi-agent systems
Recovering hidden multi-agent communication graphs from contextual traces
AI Security
Topology Inference
arXiv 2026
Built WebWeaver, topology inference for LLM multi-agent systems
Recovering hidden multi-agent communication graphs from contextual traces
AI Security
Topology Inference
arXiv 2026
Applied AI Notes
build notes
from applied AI systems
build notes
from applied AI systems
build notes
from applied AI systems
System Toolkit
LLM Systems
ML Infrastructure
Research to Product
LLM Systems
ML Infrastructure
Research to Product
LLM Systems
ML Infrastructure
Research to Product
Experience
Intellisys Lab
Research Assistant
Sep 2024 - Present
Research
I build secure and measurable AI systems, from federated LLM workflows to adversarial evaluation pipelines and production-minded research infrastructure.
Intellisys Lab
Research Assistant
Sep 2024 - Present
Research
I build secure and measurable AI systems, from federated LLM workflows to adversarial evaluation pipelines and production-minded research infrastructure.
Intellisys Lab
Research Assistant
I build secure and measurable AI systems, from federated LLM workflows to adversarial evaluation pipelines and production-minded research infrastructure.
DHL Express
AI/ML Engineer Intern
May 2024 - Aug 2024
Production Systems
At DHL Express, I worked on churn prediction, sentiment analysis, retraining workflows, and ML delivery paths that connected model quality to production operations.
DHL Express
AI/ML Engineer Intern
May 2024 - Aug 2024
Production Systems
At DHL Express, I worked on churn prediction, sentiment analysis, retraining workflows, and ML delivery paths that connected model quality to production operations.
DHL Express
AI/ML Engineer Intern
At DHL Express, I worked on churn prediction, sentiment analysis, retraining workflows, and ML delivery paths that connected model quality to production operations.
XClaw
Individual Contributor (IC)
Sep 2025 - Nov 2025
IC
In applied AI environments, things move fast. I learned to test ideas quickly, work closely with PMs and engineers, and keep product decisions grounded in real user constraints.
XClaw
Individual Contributor (IC)
Sep 2025 - Nov 2025
IC
In applied AI environments, things move fast. I learned to test ideas quickly, work closely with PMs and engineers, and keep product decisions grounded in real user constraints.
XClaw
Individual Contributor (IC)
In applied AI environments, things move fast. I learned to test ideas quickly, work closely with PMs and engineers, and keep product decisions grounded in real user constraints.
Stevens Institute of Technology
Master of Science, Computer Science
Sep 2024 - Present
Graduate School
At Stevens Institute of Technology, I strengthened my computer science foundation through systems, machine learning, and AI research. Studying in Hoboken also placed me close to New York's engineering community and helped me connect research decisions with production constraints.
Stevens Institute of Technology
Master of Science, Computer Science
Sep 2024 - Present
Graduate School
At Stevens Institute of Technology, I strengthened my computer science foundation through systems, machine learning, and AI research. Studying in Hoboken also placed me close to New York's engineering community and helped me connect research decisions with production constraints.
Stevens Institute of Technology
Master of Science, Computer Science
At Stevens Institute of Technology, I strengthened my computer science foundation through systems, machine learning, and AI research. Studying in Hoboken also placed me close to New York's engineering community and helped me connect research decisions with production constraints.
Shenzhen University
Bachelor, Logistics Management
Sep 2019 - Jul 2023
Undergrad
At Shenzhen University, I built a foundation in logistics management, data analysis, and operational systems. That training taught me to trace how information, people, and resources move through complex organizations, a perspective I now apply to AI and ML systems.
Shenzhen University
Bachelor, Logistics Management
Sep 2019 - Jul 2023
Undergrad
At Shenzhen University, I built a foundation in logistics management, data analysis, and operational systems. That training taught me to trace how information, people, and resources move through complex organizations, a perspective I now apply to AI and ML systems.
Shenzhen University
Bachelor, Logistics Management
At Shenzhen University, I built a foundation in logistics management, data analysis, and operational systems. That training taught me to trace how information, people, and resources move through complex organizations, a perspective I now apply to AI and ML systems.
About
Hi, I'm Gaoyi :)
I'm an applied AI engineer focused on turning research ideas into practical ML systems, trustworthy LLM workflows, and production-ready AI products.
My approach stays grounded in measurable outcomes, system ownership, and clear communication across research and product.
I believe great design is the perfect intersection of aesthetics, strategy, and engineering feasibility.
Hi, I'm Gaoyi :)
I'm an applied AI engineer focused on turning research ideas into practical ML systems, trustworthy LLM workflows, and production-ready AI products.
My approach stays grounded in measurable outcomes, system ownership, and clear communication across research and product.
I believe great design is the perfect intersection of aesthetics, strategy, and engineering feasibility.
Hi, I'm Gaoyi :)
I'm an applied AI engineer focused on turning research ideas into practical ML systems, trustworthy LLM workflows, and production-ready AI products.
My approach stays grounded in measurable outcomes, system ownership, and clear communication across research and product.
I believe great design is the perfect intersection of aesthetics, strategy, and engineering feasibility.
Working Style
For me, design is play.
Being a AI/ML Engineer Intern feels like the perfect “impossible triangle” — it connects what I’m good at, what I love, and a career path full of growth and possibility.
My approach to design is deeply shaped by a personal philosophy that echoes Naval Ravikant’s belief in finding work that feels like play. It’s this mindset that keeps me curious, creative, and driven every day.
“I’m always ‘working.’ It looks like work to others, but it feels like play to me. And that’s how I know no one can compete with me on it. Because I’m just playing, for sixteen hours a day. ”
——Naval Ravikant
Working Style
For me, design is play.
Being a AI/ML Engineer Intern feels like the perfect “impossible triangle” — it connects what I’m good at, what I love, and a career path full of growth and possibility.
My approach to design is deeply shaped by a personal philosophy that echoes Naval Ravikant’s belief in finding work that feels like play. It’s this mindset that keeps me curious, creative, and driven every day.
“I’m always ‘working.’ It looks like work to others, but it feels like play to me. And that’s how I know no one can compete with me on it. Because I’m just playing, for sixteen hours a day. ”
——Naval Ravikant
From Models to Reliable Systems
I work on applied AI at the intersection of ML research, LLM security, and systems engineering.
Across ownership verification, adversarial evaluation, and multi-agent topology inference, I treat every model as an operational system: define the threat model, measure what matters, and design for deployment.
Today, I turn research ideas into reliable AI infrastructure and products, making complex model behavior measurable, secure, and useful.
From Models to Reliable Systems
I work on applied AI at the intersection of ML research, LLM security, and systems engineering.
Across ownership verification, adversarial evaluation, and multi-agent topology inference, I treat every model as an operational system: define the threat model, measure what matters, and design for deployment.
Today, I turn research ideas into reliable AI infrastructure and products, making complex model behavior measurable, secure, and useful.
From Models to Reliable Systems
I work on applied AI at the intersection of ML research, LLM security, and systems engineering.
Across ownership verification, adversarial evaluation, and multi-agent topology inference, I treat every model as an operational system: define the threat model, measure what matters, and design for deployment.
Today, I turn research ideas into reliable AI infrastructure and products, making complex model behavior measurable, secure, and useful.
Beyond the Work
Outside of building AI systems, I keep a running archive of photos, textures, and references that sharpen how I think about interfaces, storytelling, and product taste. You can browse a few more notes and builds on my GitHub. Hiking and discovering new places help me stay grounded and inspired.
Beyond the Work
Outside of building AI systems, I keep a running archive of photos, textures, and references that sharpen how I think about interfaces, storytelling, and product taste. You can browse a few more notes and builds on my GitHub. Hiking and discovering new places help me stay grounded and inspired.
Beyond the Work
Outside of building AI systems, I keep a running archive of photos, textures, and references that sharpen how I think about interfaces, storytelling, and product taste. You can browse a few more notes and builds on my GitHub. Hiking and discovering new places help me stay grounded and inspired.
A Little Thank-You for Scrolling
give the shutter a click!
Thanks for scrolling all the way here💛 I saved three Polaroids from my own moments for you, click the shutter three times to reveal them, and feel free to drag them around.
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A Little Thank-You for Scrolling
give the shutter a click!
Thanks for scrolling all the way here💛 I saved three Polaroids from my own moments for you, click the shutter three times to reveal them, and feel free to drag them around.
0:00/1:34
A Little Thank-You for Scrolling
give the shutter a click!
Thanks for scrolling all the way here💛 I saved three Polaroids from my own moments for you, click the shutter three times to reveal them, and feel free to drag them around.
0:00/1:34
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